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2012 04 911.7
2012 03 231·7
2012 02 121.7
2012 01 511.8
2011 12 521·9
2011 11 331·8
2011 10 111·8
2011 09 361·9
2011 08 351.8
2011 07 971.8
2011 06 671·8
2011 05 761·7
2011 04 921·7
2011 03 981.9
2011 02 931.8
2011 01 141.9
2010 12 971·7
2010 11 431.6
2010 10 271·7
2010 09 221.8
2010 08 501.9
2010 07 611·9
2010 06 311·8
2010 05 911·6
2010 04 781.8
2010 03 111.8
2010 02 951.7
2010 01 421.9
2009 12 301.8
2009 11 741·7
2009 10 301·7
2009 09 191.7
2009 08 821.8
2009 07 571·7
2009 06 741·8
2009 05 901.7
2009 04 351.8
2009 03 901.6
2009 02 911.7
2009 01 501·6
2008 12 131·7
2008 11 321.7
2008 10 681·7
2008 09 191·8
2008 08 681·7
2008 07 631·7
2008 06 181·7
2008 05 391.7
2008 04 731·5
2008 03 901.6
2008 02 801.8
2008 01 811.5
2007 12 311.6
2007 11 451·6
2007 10 151·5
2007 09 381·5
2007 08 661·6
2007 07 841.5
2007 06 121.6
2007 05 301·5
2007 04 291·6
2007 03 901.5
2007 02 841·5
2007 01 01.4
2006 12 941·6
2006 11 681.5
2006 10 691.6
2006 09 191·6
2006 08 641·5
2006 07 501·6
2006 06 291.7
2006 05 791.5
2006 04 621·7
2006 03 941·5
2006 02 531·5
2006 01 11.6
2005 12 391·5
2005 11 801·5
2005 10 521.7
2005 09 281.7
2005 08 711.6
2005 07 151·6
2005 06 661.5
2005 05 291.6
2005 04 581·8
2005 03 311·5
2005 02 571·5
2005 01 991.5
2004 12 251·5
2004 11 851·6
2004 10 141·8
2004 09 571.7
2004 08 231·7
2004 07 571.8
2004 06 471·6
2004 05 471.7
2004 04 271.6
2004 03 561.7
2004 02 971·7
2004 01 371·7
2002 12 381.5
2002 11 121·5
2002 10 251.6
2002 09 231.6
2002 08 811·6
2002 07 821.6
2002 06 201.5
2002 05 231.5
2002 04 61·5
2002 03 481·6
2002 02 951.5
2002 01 811·6
2001 12 891·5
2001 11 161.9
2001 10 861.6
2001 09 671.6
2001 08 301·6
2001 07 191·7
2001 06 581.4
2001 05 751.4
2001 04 541.5
2001 03 121·6
2001 02 981·6
2001 01 241·3
2000 12 131·5
2000 11 771.5
2000 10 191.3
2000 09 571·5
2000 08 801.6
2000 07 211.6
2000 06 581·6
2000 05 451·3
2000 04 581.4
2000 03 761·4
2000 02 801.5
2000 01 811·4
1999 12 711·4
1999 11 981·4
1999 10 711·5
1999 09 841.6
1999 08 691·5
1999 07 691.5
1999 06 451·4
1999 05 991·4
1999 04 271·4
1999 03 951·4
1999 02 391·4
1999 01 951·4
1998 12 481.5
1998 11 81·5
1998 10 171·4
1998 09 651.5
1998 08 541.6
1998 07 661.7
1998 06 651·6
1998 05 301·6
1998 04 981.6
1998 03 481.6
1998 02 981·4
1998 01 321.5
1997 12 551·6
1997 11 631.7
1997 10 531.5
1997 09 421.5
1997 08 241.5
1997 07 421·6
1997 06 931.5
1997 05 531·5
1997 04 311.6
1997 03 401·6
1997 02 51·7
1997 01 851.5
1996 12 271·4
1996 11 411.7
1996 10 31·7
1996 09 821·5
1996 08 871.5
1996 07 501.6
1996 06 251.4
1996 05 121·4
1996 04 111.4
1996 03 01·4
1996 02 331.3
1996 01 701.3
1995 12 251·6
1995 11 471·4
1995 10 161.6
1995 09 751·6
1995 08 801.6
1995 07 721.7
1995 06 861·5
1995 05 721·5
1995 04 491·5
1995 03 821.5
1995 02 811·5
1995 01 291.5
1994 12 351.0
1994 11 91·1
1993 12 641.5
1993 11 401·4
1993 10 621.5
1993 09 101.4
1993 08 221·5
1993 07 251.5
1993 06 811.4
1993 05 651·5
1993 04 701.4
1993 03 281·5
1993 02 671.4
1993 01 831.4
1992 12 441.5
1992 11 181·5
1992 10 201·5
1992 09 941·5
1992 08 81·5
1992 07 891.6
1992 06 671·5
1992 05 551.5
1992 04 501·4
1992 03 601·5
1992 02 571·5
1992 01 471·5
1991 12 821.3
1991 11 761·4
1991 10 651.4
1991 09 781·5
1991 08 421.5
1991 07 51.6
1991 06 921·5
1991 05 791·5
1991 04 931.5
1991 03 421·5
1991 02 641·5
1991 01 61.4
1990 12 231.4
1990 11 51.5
1990 10 311·6
1990 09 421·5
1990 08 451·4
1990 07 401.6
1990 06 681.5
1990 05 921·4
1990 04 971.5
1990 03 141.4
1990 02 751.6
1990 01 891·5
1989 12 421.5
1989 11 231.5
1989 10 791.5
1989 09 901·5
1989 08 671·4
1989 07 851·5
1989 06 291.4
1989 05 741.3
1989 04 861.3
1989 03 441.4
1989 02 11·4
1989 01 511.4
1988 12 361·3
1988 11 711.3
1988 10 951.3
1988 09 501.4
1988 08 801.4
1988 07 581.4
1988 06 371.4
1988 05 301.4
1988 04 71.3
1988 03 241.5
1988 02 761·3
1988 01 701·5
1987 12 281.4
1987 11 151·3
1987 10 891.4
1987 09 791.5
1987 08 831.4
1987 07 991.5
1987 06 761.4
1987 05 871·4
1987 04 331·3
1987 03 711.4
1987 02 621.4
1987 01 511·4
1986 12 671·5
1986 11 491·4
1986 10 981.5
1986 09 541·6
1986 08 981·5
1986 07 771.6
1986 06 581·4
1986 05 11·5
1986 04 631.4
1986 03 261.4
1986 02 441·5
1986 01 241.6
1985 12 261.4
1985 11 881·4
1985 10 801·4
1985 09 801.5
1985 08 741.5
1985 07 831.3
1985 06 181.5
1985 05 501·4
1985 04 201·4
1985 03 551.4
1985 02 321.4
1985 01 421·5
1984 12 21·5
1984 11 741·5
1984 10 231.6
1984 09 861.6
1984 08 831·6
1984 07 331·5
1984 06 161·5
1984 05 401·4
1984 04 511.4
1984 03 521·3
1984 02 621·4
1984 01 851·5
1983 12 181.4
1983 11 751.5
1983 10 361.4
1983 09 281.5
1983 08 241.5
1983 07 701.5
1983 06 381.4
1983 05 991·4
1983 04 291·4
1983 03 331·4
1983 02 941·4
1983 01 571.4
1982 12 241·4
1982 11 811.5
1982 10 551.5
1982 09 831·5
1982 08 191·5
1982 07 601.5
1982 06 951·5
1982 05 821.4
1982 04 541.4
1982 03 381·4
1982 02 151.4
1982 01 881·5
1981 12 911·4
1981 11 101.4
1981 10 401·4
1981 09 561.4
1981 08 171.5
1981 07 951.6
1981 06 211·5
1981 05 681·3
1981 04 471·3
1981 03 371·4
1981 02 341.4
1981 01 311·3
1980 12 171·3
1980 11 41.4
1980 10 781.4
1980 09 771.5
1980 08 911.5
1980 07 921·5
1980 06 791.4
1980 05 611·4
1980 04 571.4
1980 03 191·4
1980 02 871.4
1980 01 671.4
1979 12 271.4
1979 11 291·4
1979 10 781.4
1979 09 991.4
1979 08 391.4
1979 07 921.5
1979 06 531.3
1979 05 911·3
1979 04 571·4
1979 03 21·4
1979 02 351.4
1979 01 991·4
1978 12 671.5
1978 11 771.3
1978 10 771·5
1978 09 31·4
1978 08 841.5
1978 07 631·4
1978 06 531·4
1978 05 121.5
1978 04 441·4
1978 03 271·4
1978 02 641.4
1978 01 561.4
1977 12 121·4
1977 11 651.5
1977 10 341.5
1977 09 931·5
1977 08 731.4
1977 07 961·4
1977 06 161·4
1977 05 31·4
1977 04 431.5
1977 03 631·3
1977 02 831·5
1977 01 941·5
1976 12 581.5
1976 11 351·4
1976 10 361·4
1976 09 971.4
1976 08 811.4
1976 07 81·5
1976 06 11.4
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Charts
Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race
The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:
Civilian Labor Force
(subcategories)
Employment Level
(subcategories)
Unemployment Level
(subcategories)
US Unemployment Rate
(subcategories)
Population
(subcategories)
Employment-Population Ratio
(subcategories)
Median Weeks Unemployed
(subcategories)
Percent Distribution
(subcategories)
Average Hours At Work
(subcategories)
Of Total Unemployed
(subcategories)
These basic measures are augmented by:
Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time
These series can be subdivided by:
Sex:
Male
Female
Race and Ethnicity:
White
Black
Hispanic
Mexican
Puerto Rican
Cuban
Age:
16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over
Class Of Worker:
Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers
Industry:
Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration
Occupation:
Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations
Input your search text below.
or alter the examples after this blank template.
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Example 1: Get Unemployment Rates for people in Computer jobs |
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Example 2: Get Employment Data for Workers in the "Retail Trade" Industry |
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Example 3: Get Population Level Data for Workers |
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